180 results found

Xinlong Zhao, Qixiang Pang, Shan Du

Gas leaks pose severe risks to human health and industrial safety. However, accurate and timely monitoring of gas leaks remains a major challenge. Existing vision-based methods using infrared (IR) ima...

The Visual Computer 2026-04-21 rs-9331073
Gas leak segmentation Industrial safety monitoring Infrared video surveillance system Spatiotemporal perception Text-guided feature enhancement Vision language models (VLMs)

Bin Wang, Juan Zhang

This study introduces an innovative methodological framework for AI-driven talent chain management, addressing key challenges in workforce optimization, collaboration dynamics, and innovation assessme...

Scientific Reports 2026-04-21 rs-9264887
AI-driven Talent Management Multi-agent Systems Workforce Optimization Collaboration Dynamics Forecasting Uncertainty-aware Innovation Evaluation

Helmi Mostafa Abdaljabbar Khatib

Background Artificial intelligence (AI), particularly large language models (LLMs), has emerged as a promising tool in healthcare, with potential applications in clinical decision support and dental e...

Research Square 2026-04-21 rs-9468440
Artificial intelligence Large language models Periodontology Dental education Clinical reasoning Multiple-choice questions

Seiya Imoto, Takuya Yamamoto, Yusuke Nakamura, Shokichi Takahama, Kazuma Kiyotani, Toyomasa Katagiri, Emiko Urano, Nobuhiro Shimozawa, Naohide Ageyama, Yasuhiro Yasutomi, Kotoe Katayama, Yoshimasa Ono, Noriaki Sato, Takayoshi Hyugaji, Hiroko Tanaka, Takanori Hasegawa, Satoru Miyano, Nicholas Ong, Lin Yang, Miles Benton, Lihye Kim, Ratna Sariyatun, Yuta Nagatsuka, Takuto Nogimori

The crab-eating macaque (Macaca fascicularis), a key biomedical model, exhibits substantial inter-individual variability. However, its genomic architecture remains incompletely resolved due to extensi...

Research Square 2026-04-21 rs-9105354

Rongkun Zhu, Yanan Zhang, Jingjing Liu, Di Wang, Xiaoxuan Ma, Qian Dong, Xiwei Hao

Objective To investigate the key clinical diagnostic and therapeutic points, challenges and corresponding strategies for duodenal perforation complicated with recurrent gastrointestinal bleeding in ch...

BMC Pediatrics 2026-04-21 rs-9313057
Children Duodenal Perforation Recurrent Gastrointestinal Bleeding Gastroduodenal Artery Embolization MDT Collaboration

Isabelle Marcoux, Emilie Allard, Genevieve Lavigne, Gina Bravo

The COVID-19 pandemic had devastating consequences for long-term care facilities (LTCFs), particularly in Quebec where mortality rates were especially high during the early waves. Although the psychol...

BMC Psychology 2026-04-21 rs-9163441
Long-term care facilities End-of-life care COVID-19 Peritraumatic stress Managers Healthcare workers Relatives Mixed-methods

Adewunmi Akingbola, Abiodun Adegbesan, Emmanuella Benson, Mmaduabuchi Ozioko, Khalil-uh-Rahman Abdullah, Maxwell Boakye, Olajumoke Adewole, Petra Mariaria

Introduction The Hepatitis B third dose (HepB3) vaccination is essential in preventing chronic infections, liver failure, and cancer. Despite progress, global coverage remains uneven, especially in lo...

Research Square 2026-04-21 rs-9379366
Hepatitis B third-dose vaccine spatiotemporal analysis global coverage regression model choropleth maps

Jecha Jecha, Ally Ali, Adilu Mussa

This study examines barriers to adopting AI-enabled human resource management (AI-HR) in Zanzibar’s public and private sectors, focusing on how adoption dynamics in resource-constrained, mandatory set...

Research Square 2026-04-21 rs-9472562
AI adoption human resource management developing countries TOE-TAM institutional decoupling SIDS PLS-SEM mandatory adoption

Hannah Ikeade Efunniyi¹, Theresa Olaitan Bamigboye², Emmanuel Ejembi Anyebe³

Background Social media use is pervasive among university students, but the cognitive pathways through which it may influence depressive mood are not well understood, particularly in low‑resource sett...

Research Square 2026-04-21 rs-9442419
Social media depression cognitive mechanisms social comparison university students Nigeria mixed methods

Rahul Nayak, Aditya Prasoon

Federated learning has emerged as the dominant paradigm for privacy-preserving intrusion detection across distributed networks, yet its vulnerability to adversarial manipulation of the training proces...

The Journal of Supercomputing 2026-04-21 rs-9275643
Federated learning Intrusion detection Non-IID heterogeneity Byzantine resilience Adversarial machine learning Multi-agent systems Non-stationary distribution attack
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